Reshaping Workflows with Dell Pro Precision and NVIDIA RTX PRO GPUs

What actually makes AI work at scale? Live from GTC, F5’s Director of Product Management Greg Dalle pulls back the curtain on the critical infrastructure layer powering modern AI factories, from intelligent LLM routing to next-gen traffic management. With new innovations around distributed inference, AI grids, and integrated security following their CalypsoAI acquisition, F5 is tackling the hidden bottlenecks that determine speed, cost, and reliability. If you care about making AI faster, safer, and truly enterprise-ready, this is the conversation happening behind the scenes.

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Image the potential if your store could tell you exactly where you’re losing money, before you even notice it. Live from GTC, Chris May, US Country Head of Whale, breaks down how their vision-language AI is transforming retail operations by turning everyday camera footage into real-time revenue insights. From tracking missed sales opportunities to optimizing staffing, product placement, and even food waste, Whale is helping brands like LVMH and major auto dealers make smarter, faster decisions at scale.

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What if your AI agents could be enterprise-ready without sacrificing speed or simplicity? Live from GTC, Aible Founder and CEO Arijit Sengupta breaks down the company’s latest leap forward, introducing AibleClaw, a major evolution that goes beyond security to deliver consistency, governance, and real business impact at scale. With new integrations like NVIDIA NeMo Guardrails and support for long-running, context-aware agents, Aible is making it easier than ever for anyone, not just data scientists, to build powerful, compliant AI workflows in minutes.

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Logan breaks down what's coming down the pipe for the final day of GTC 2026!

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Your AI is only as smart as the context you feed it. Live from GTC 2026, SurrealDB’s CEO Tobie Morgan Hitchcock breaks down how their multimodal database is reshaping the context layer, combining vector, graph, document, and full-text data to dramatically improve AI accuracy. Instead of just matching words, SurrealDB helps AI understand relationships, more like how humans actually think. If you’re building with agents or LLMs, this conversation will change how you think about your data stack.

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What if you could generate fully produced videos, complete with synced audio, expressive characters, and editable scenes, all from a single open model? Live from GTC 2026, Lightricks Co-Founder and CTO Yaron Inger breaks down how LTX2 is delivering exactly that, outperforming competitors while staying fully open source. He unpacks how features like audio-to-video are giving creators unprecedented control over storytelling. If you want to see where video creation is actually going, this is it.

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Sparky, the Dell Technologies Humanoid Robot, has charmed GTC attendees with its dance moves, karate kicks, and more. But how do you teach a robot how to bust a move? Founder/Senior Technologist at Experiential Technologies Mitch Chaiet joins Logan to share his story, how he programs his robot Sparky, and touch on the rapid speed at which robot tech is changing day-to-day.

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What if you could train faster, use less compute, and not lose accuracy? Live from GTC 2026, Logan sits down with NVIDIA Solution Architect Hirofumi Kobayashi and Senior Software Engineer Max Xu to break down NVIDIA’s latest leap in LLM training. The duo explains how FP4 precision on Blackwell GPUs is unlocking massive gains in performance, memory efficiency, and energy savings, without sacrificing model quality. They also walk through how developers can easily tap into these optimizations using frameworks like JAX. It’s a fast-paced look at how the next generation of AI models will be built smarter, leaner, and faster

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Logan recaps some of the highlights of Day 2 of GTC, and previews an exciting Day 3!

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What if your entire AI stack, from edge device to data center, ran on one seamless open-source foundation? Logan chats with Canonical's Dell Alliance Manager Jack Cavanaugh to unpack how open source is powering the next wave of AI development. From edge devices like NVIDIA Jetson to full-scale data center deployments, Canonical is building optimized Ubuntu environments across the entire AI stack. Jack explains how a cohesive, enterprise-ready open source platform simplifies everything from development to deployment, without sacrificing flexibility. The conversation highlights why Ubuntu remains a go-to foundation for AI, data science, and scalable infrastructure. 

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